Fans of Women's Sports Spending Behaviors and Brand Preferences

**Overview**
Applying our proprietary data model, we take our transactional database of over 140 million anonymized users' transaction data to identify and track their sports fandom and brand affinity over time.

Specifically, this listing surfaces data on FoWS (fans of women’s sports). We define a FoWS as a consumer who spends with teams, leagues, media companies, and consumer brands that are directly tied to professional women's sports, such as the WNBA, NWSL, and more. This data also reveals psychographic behavioral characteristics to better understand who they are and what kind of lifestyle activities they participate in. It also uncovers the top categories they spend with and the preferred brands they buy from.

**Use cases**
This data set helps us answer questions like:
- How quickly is the women’s sports fan community growing?
- Which brands command the most consumer spending with these fans?
- What else are fans of women’s sport interested in?
- When did people make their first women’s sport-related purchase?
- Are members of the women’s sports community digitally savvy relative to the general population?
- How much do fans of women’s sports spend on other sports? Entertainment? Exercise? Streaming?

**Product details**
Sample Tables:
- ACQUISITION_RETENTION_ANNUAL_RATES_SPORTS_FANS
- ACQUISITION_RETENTION_MONTHLY_RATES_SPORTS_FANS
- AVG_ANNUAL_SPENDING_LEAGUE_LEVEL
- AVG_ANNUAL_SPENDING_TEAMS_LEVEL
- FOWS_ANNUAL_CHARACTERISTIC_INDEXING
- FOWS_TOP_CATEGORIES_RANKED_ANNUALLY
- FOWS_TOP_PREFERRED_BRANDS
- FOWS_TOP_SPORTS_CONSUMPTION_BRANDS

Sample Fields:
- Characteristic/Audience: Who are we analyzing?
- Team
- League
- Average Spend Per Consumer: How much is an average consumer spending towards a specific team in total in a given year?
- Average Spend Per Transaction: How much is a consumer spending towards a specific team per transaction in a given year?
- Average Transactions Per Consumer: How many transactions is an average consumer making with a specific team in a given year?

For the full data dictionary across all tables, refer to the embedded notebook.